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Vector quantized radial basis function neural network with embedded multiple local linear models for financial prediction
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.
In this paper, a model is proposed which combines multiple local linear models with a novel modified probabilistic neural network (MPNN). The proposed model is developed to approximate multiple nonlinear model with reduced computational requirement. The proposed model shows to provide both low bias and variance with reduced computations by utilizing semiparametric local linear approximation and efficient vector quantization of data space. The proposed model is shown to provide comparabledoi:10.1109/ijcnn.2005.1556302 fatcat:w4niqsvd3ncqvmxayexlf2rn6y